Munetake SATO
Impact in
- Applied Mathematics top 5%
- Nonlinear Partial Differential Equations
- Geometric Analysis and Curvature Flows
- Nuclear and High Energy Physics top 10%
- Laser-Plasma Interactions and Diagnostics
Papers in
-
- Granular flow and fluidized beds 7
- Fluid Dynamics and Heat Transfer 2
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- Non-Destructive Testing Techniques 2
- Co-authors
- Yoshikazu Giga (3 shared papers)Hitoshi Ishii (1 shared paper)Shun’ichi Goto (1 shared paper)Takeo Yano (11 shared papers)S. Nakai (2 shared papers)M. Nakai (2 shared papers)H. Azechi (2 shared papers)N. Miyanaga (2 shared papers)
In The Last Decade
Munetake SATO
25 papers receiving 271 citations
Peers
Comparison fields: 5 of 50
- Applied Mathematics 89
- Nuclear and High Energy Physics 94
- Computational Theory and Mathematics 65
- Computational Mechanics 63
- Modeling and Simulation 12
Countries citing papers authored by Munetake SATO
This map shows the geographic impact of Munetake SATO's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Munetake SATO with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munetake SATO more than expected).
Fields of papers citing papers by Munetake SATO
This network shows the impact of papers produced by Munetake SATO. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Munetake SATO. The network helps show where Munetake SATO may publish in the future.
Co-authors
The 25 scholars most cited alongside Munetake SATO, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 105 | |
| 2 | 1995 | 57 | |
| 3 | 1997 | 20 | |
| 4 | 1995 | 17 | |
| 5 | 1999 | 14 | |
| 6 | 1996 | 14 | |
| 7 | 2002 | 10 | |
| 8 | 2015 | 8 | |
| 9 | 1979 | 5 | |
| 10 | 1979 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 1977 | 4 | |
| 13 | 1972 | 4 | |
| 14 | 1972 | 3 | |
| 15 | 1974 | 2 | |
| 16 | 1972 | 2 | |
| 17 | 1974 | 2 | |
| 18 | 1978 | 2 | |
| 19 | 1972 | 2 | |
| 20 | 1972 | 2 |
About Munetake SATO
Munetake SATO is a scholar working on Computational Mechanics, Mechanical Engineering, Electrical and Electronic Engineering, Nuclear and High Energy Physics and Materials Chemistry, having authored 27 papers that have together received 288 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (7 papers), Fluid Dynamics and Heat Transfer (2 papers), Fluid Dynamics and Mixing (2 papers), Magnetic confinement fusion research (2 papers), Geometric Analysis and Curvature Flows (2 papers), Rheology and Fluid Dynamics Studies (2 papers), Nonlinear Partial Differential Equations (2 papers) and Non-Destructive Testing Techniques (2 papers). The work is most often cited by research in Applied Mathematics (89 citations), Nuclear and High Energy Physics (94 citations), Computational Theory and Mathematics (65 citations), Computational Mechanics (63 citations) and Modeling and Simulation (12 citations). Munetake SATO has collaborated with scholars based in Japan, Germany and Belgium. Frequent co-authors include Yoshikazu Giga, Hitoshi Ishii, Shun’ichi Goto, Takeo Yano, S. Nakai, M. Nakai, H. Azechi, N. Miyanaga, Eiji Yanagida and Shin-Ichiro Ei. Their work appears in journals such as Physical Review Letters, Journal of Physics D Applied Physics, American Journal of Mathematics, Journal of Wind Engineering and Industrial Aerodynamics and Indiana University Mathematics Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.